nvidia dgx-1 artificial intelligence system · 2019. 1. 6. · deep learning libraries nvidia cudnn...

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DGX-1 | DATA SHEET | OcT16 The World’s First AI Supercomputer in a Box SYSTEM SPECIFICATIONS GPUs 8x Tesla P100 TFLOPS (GPU FP16 / CPU FP32) 170/3 GPU Memory 16 GB per GPU CPU Dual 20-core Intel ® Xeon ® E5-2698 v4 2.2 GHz NVIDIA CUDA ® Cores 28672 System Memory 512 GB 2133 MHz DDR4 Storage 4x 1.92 TB SSD RAID 0 Network Dual 10 GbE, 4 IB EDR Software Ubuntu Server Linux OS DGX-1 Recommended GPU Driver System Weight 134 lbs System Dimensions 866 D x 444 W x 131 H (mm) Packing Dimensions 1180 D x 730 W x 284 H (mm) Maximum Power Requirements 3200W Operating Temperature Range 10 - 30°C NVIDIA DGX-1 ARTIFIcIAL INTELLIGENcE SYSTEM Get faster training, larger models, and more accurate results from deep learning with the NVIDIA ® DGX-1 . This is the world’s first purpose-built system for deep learning and AI-accelerated analytics, with performance equal to 250 conventional servers. It comes fully integrated with hardware, deep learning software, development tools, and accelerated analytics applications. Immediately shorten data processing time, visualize more data, accelerate deep learning frameworks, and design more sophisticated neural networks. Iterate and Innovate Faster High-performance training accelerates your productivity giving you faster insight and time to market. 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 NVIDIA DGX-1 Delivers 56X More Performance CPU is dual socket Intel Xeon E5-2697 v3. 170 TF is half precision or FP16. NVIDIA DGX-1 Performance in teraFLOPS CPU 170 TFLOPS 3 TFLOPS NVIDIA DGX-1 Delivers 75X Faster Training Note: Caffe benchmark with AlexNet, training 1.28M images with 90 epochs | CPU server uses 2x Xeon E5-2697 v3 CPUs. 0 10X 20X 30X 40X 60X 80X 50X 70X NVIDIA DGX-1 Relative Performance (Based on Time to Train) CPU 2 Hours 150 Hours (6.25 Days) 231760_DGX-1_Analytics_DS_05Oct_US_NV_Fnls.indd 1 10/5/16 5:10 PM

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Page 1: NVIDIA DGX-1 ARTIFIcIAL INTELLIGENcE SYSTEM · 2019. 1. 6. · DEEP LEARNING LIBRARIES NVIDIA cuDNN and NCCL DEEP LEARNING USER SOFTWARE NVIDIA® DIGITS™ ACCELERATED SOLUTIONS CONTAINERIZATION

DGX-1 | DATA SHEET | OcT16

The World’s First AI Supercomputer in a Box

SYSTEM SPECIFICATIONSGPUs 8x Tesla P100

TFLOPS (GPU FP16 / CPU FP32)

170/3

GPU Memory 16 GB per GPU

CPU Dual 20-core Intel® Xeon® E5-2698 v4 2.2 GHz

NVIDIA CUDA® Cores 28672

System Memory 512 GB 2133 MHz DDR4

Storage 4x 1.92 TB SSD RAID 0

Network Dual 10 GbE, 4 IB EDR

Software Ubuntu Server Linux OSDGX-1 Recommended GPU Driver

System Weight 134 lbs

System Dimensions 866 D x 444 W x 131 H (mm)

Packing Dimensions 1180 D x 730 W x 284 H (mm)

Maximum Power Requirements

3200W

Operating Temperature Range

10 - 30°C

NVIDIA DGX-1ARTIFIcIAL INTELLIGENcE SYSTEM

Get faster training, larger models, and more accurate results from deep learning with the NVIDIA® DGX-1™. This is the world’s first purpose-built system for deep learning and AI-accelerated analytics, with performance equal to 250 conventional servers. It comes fully integrated with hardware, deep learning software, development tools, and accelerated analytics applications. Immediately shorten data processing time, visualize more data, accelerate deep learning frameworks, and design more sophisticated neural networks.

Iterate and Innovate Faster High-performance training accelerates your productivity giving you faster insight and time to market.

0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170

NVIDIA DGX-1 Delivers 56X More Performance

CPU is dual socket Intel Xeon E5-2697 v3. 170 TF is half precision or FP16.

NVIDIA DGX-1

Performance in teraFLOPS

CPU

170 TFLOPS

3 TFLOPS

NVIDIA DGX-1 Delivers 75X Faster Training

Note: Caffe benchmark with AlexNet, training 1.28M images with 90 epochs | CPU server uses 2x Xeon E5-2697 v3 CPUs.

0 10X 20X 30X 40X 60X 80X50X 70X

NVIDIA DGX-1

Relative Performance (Based on Time to Train)

CPU

2 Hours

150 Hours(6.25 Days)

231760_DGX-1_Analytics_DS_05Oct_US_NV_Fnls.indd 1 10/5/16 5:10 PM

Page 2: NVIDIA DGX-1 ARTIFIcIAL INTELLIGENcE SYSTEM · 2019. 1. 6. · DEEP LEARNING LIBRARIES NVIDIA cuDNN and NCCL DEEP LEARNING USER SOFTWARE NVIDIA® DIGITS™ ACCELERATED SOLUTIONS CONTAINERIZATION

For more information on NVIDIA DGX-1, visit www.nvidia.com/dgx1© 2016 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, and Iray are trademarks and/or registered trademarks of NVIDIA Corporation. All company and product names are trademarks or registered trademarks of the respective owners with which they are associated. Features, pricing, availability, and specifications are all subject to change without notice. OCT16

computing for Infinite Opportunities The NVIDIA DGX-1 is the first system built with NVIDIA Pascal™-powered Tesla® P100 accelerators. The NVIDIA NVLink™ implementation delivers a massive increase in GPU memory capacity, giving you a system that can learn, see, and simulate our world.

Analyze. Visualize. AI-Accelerate The NVIDIA DGX-1 software stack includes major deep learning frameworks, the NVIDIA DIGITS™ GPU training system, the NVIDIA Deep Learning SDK (e.g. CuDNN, NCCL), NVIDIA Docker, GPU drivers, and NVIDIA CUDA® for rapidly designing deep neural networks (DNN). It’s the ideal stack for accelerating popular analytics and visualization software.

This powerful system includes access to cloud management services for container creation and deployment, system updates, and an application repository. This software, running on Pascal-powered Tesla GPUs, lets applications run 12X faster than previous GPU-accelerated solutions.

Turn Data into KnowledgeThe innovative NVIDIA DGX-1 system lets you uncover patterns in large data sets to reveal new knowledge and insights in hours or minutes.

Stay Ahead of the competition NVIDIA DGX-1 is engineered with groundbreaking technologies that deliver the fastest solutions for your deep learning training and AI-accelerated analytics workloads.

Maximize Your Investment Hardware and software support gives you access to NVIDIA deep learning expertise and includes cloud management services, software upgrades and updates, and priority resolution of your critical issues.

GPU DRIVER

NVIDIA GPU Compute Driver Software

SYSTEM

GPU-Optimized Linux Server OS

DEEP LEARNING LIBRARIES

NVIDIA cuDNN and NCCL

DEEP LEARNING USER SOFTWARE

NVIDIA® DIGITS™

ACCELERATED SOLUTIONS

CONTAINERIZATION TOOL

NVDocker

MANAGEMENT

NVIDIA Cloud Management Service

DEEP LEARNING FRAMEWORKS

NVIDIA DGX-1 Software Stack

231760_DGX-1_Analytics_DS_05Oct_US_NV_Fnls.indd 2 10/5/16 5:10 PM